GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments

16 December 2021

Papers citing "GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments"

11 / 11 papers shown

Title
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments Drew Penney Bin Li Lizhong Chen J. Sydir Anna Drewek-Ossowicka R. Illikkal Charlie Tai R. Iyer Andrew J. Herdrich 31 1 0 10 Apr 2023
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions Sundas Iftikhar S. Gill Chenghao Song Minxian Xu M. Aslanpour ... Félix Cuadrado Blesson Varghese Omer F. Rana Schahram Dustdar Steve Uhlig 39 132 0 09 Dec 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 21 56 0 01 Aug 2022
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? Shikhar Tuli Bhishma Dedhia Shreshth Tuli N. Jha 26 14 0 23 May 2022
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments Shreshth Tuli G. Casale N. Jennings 19 2 0 21 May 2022
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments Shreshth Tuli G. Casale N. Jennings 24 1 0 21 May 2022
CAROL: Confidence-Aware Resilience Model for Edge Federations Shreshth Tuli G. Casale N. Jennings 31 8 0 14 Mar 2022
PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications Drew Penney Bin Li J. Sydir Lizhong Chen Charlie Tai Stefan Lee E. Walsh Thomas Long 18 5 0 19 Jan 2022
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing Shreshth Tuli G. Casale N. Jennings 35 38 0 04 Dec 2021
Generative Optimization Networks for Memory Efficient Data Generation Shreshth Tuli Shikhar Tuli G. Casale N. Jennings 18 12 0 06 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015